Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "148" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 76 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 74 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459892 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459891 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -2.030936 | -0.605659 | 2.999892 | 1.502633 | -1.536113 | 0.023670 | -0.229143 | -0.037432 | 0.6553 | 0.6903 | 0.4048 | nan | nan |
| 2459890 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -2.051549 | -0.569425 | 3.993314 | 1.883892 | -0.269706 | -0.139351 | -0.630416 | -0.842977 | 0.6596 | 0.6891 | 0.3992 | nan | nan |
| 2459889 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -2.235738 | -0.723418 | 2.788812 | 1.389688 | -1.688110 | 0.433069 | 0.377433 | 0.500961 | 0.6684 | 0.6940 | 0.3946 | nan | nan |
| 2459888 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -2.012676 | -0.603349 | 3.549538 | 1.588069 | -0.934962 | -0.119755 | 0.812567 | 0.321472 | 0.6868 | 0.7136 | 0.3857 | nan | nan |
| 2459887 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.982032 | -0.530760 | 3.675127 | 1.503712 | -1.066555 | 0.592398 | -0.267769 | -0.061068 | 0.6697 | 0.6956 | 0.3971 | nan | nan |
| 2459886 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -2.186029 | -0.835560 | 2.927478 | 1.207948 | 20.382616 | 16.856600 | 3.484217 | 1.951180 | 0.7561 | 0.7594 | 0.3236 | nan | nan |
| 2459885 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.819544 | -0.528696 | 18.683025 | 6.809639 | 2.242316 | -0.677144 | 7.286846 | -0.214463 | 0.7270 | 0.7380 | 0.3451 | nan | nan |
| 2459884 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459883 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 235.528887 | 234.578824 | inf | inf | 4843.709661 | 4890.805348 | 14794.554209 | 15227.767156 | nan | nan | nan | nan | nan |
| 2459882 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.039883 | -0.480438 | 19.685671 | 8.091400 | 1.191706 | 0.625792 | 0.197298 | -0.407932 | 0.6778 | 0.6997 | 0.3802 | nan | nan |
| 2459881 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.829864 | -0.236632 | 22.184613 | 7.955050 | -0.057614 | 0.491334 | 1.913539 | 0.529370 | 0.7154 | 0.7430 | 0.3287 | nan | nan |
| 2459880 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.767543 | -0.595580 | 18.190426 | 6.908854 | 0.739939 | 1.278693 | -0.048008 | -0.628645 | 0.6706 | 0.6967 | 0.3949 | nan | nan |
| 2459879 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459878 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.118125 | -0.331689 | 21.750313 | 8.036170 | 0.115878 | 1.366413 | 0.501580 | -0.125532 | 0.6636 | 0.6952 | 0.3997 | nan | nan |
| 2459876 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459875 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.843316 | -0.499522 | 21.074570 | 8.403223 | -0.267007 | -0.550655 | -0.568091 | -0.101391 | 0.6999 | 0.7234 | 0.4015 | nan | nan |
| 2459874 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.670025 | -0.685415 | 10.487873 | 4.028216 | 0.722068 | -0.840452 | 0.522098 | -0.280571 | 0.6791 | 0.6851 | 0.3944 | nan | nan |
| 2459873 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.056020 | -0.561881 | 14.572985 | 6.052399 | 0.452024 | -0.581401 | -0.051358 | -0.315699 | 0.6835 | 0.6882 | 0.3909 | nan | nan |
| 2459872 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.077223 | -0.400311 | 18.456118 | 7.429677 | 1.732095 | -0.687423 | 1.045702 | -0.079604 | 0.6840 | 0.6859 | 0.3972 | nan | nan |
| 2459871 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459870 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459869 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.806729 | 21.045436 | 46.638875 | 48.218058 | 15.686521 | 22.887554 | 4.782177 | 4.334031 | 0.0334 | 0.0326 | 0.0010 | nan | nan |
| 2459868 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459867 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459866 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 287.815907 | 287.838744 | inf | inf | 6110.523069 | 6147.683189 | 5406.237224 | 5376.229640 | nan | nan | nan | nan | nan |
| 2459865 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 17.915621 | 22.049025 | 63.211345 | 66.409543 | 15.559926 | 23.897742 | 14.406547 | 12.099677 | 0.0299 | 0.0301 | 0.0004 | nan | nan |
| 2459864 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.800984 | 0.880349 | 0.499087 | 1.242457 | 0.479657 | -0.221662 | 0.808232 | 0.669394 | 0.6904 | 0.6805 | 0.4081 | nan | nan |
| 2459863 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459862 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459861 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459860 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.257183 | 0.236638 | -0.551803 | 0.449552 | 0.685079 | -0.454746 | -0.228525 | -0.843991 | 0.7124 | 0.6858 | 0.4023 | nan | nan |
| 2459859 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459858 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.549559 | 0.120145 | 0.289377 | 0.811085 | -0.064193 | -0.139702 | 1.469348 | 0.592666 | 0.7351 | 0.7011 | 0.4145 | 3.758491 | 2.999466 |
| 2459857 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 20.572014 | 22.531467 | 5.908508 | 6.193661 | 113.142692 | 182.986416 | 54.810628 | 58.013109 | 0.7158 | 0.7052 | 0.4157 | nan | nan |
| 2459856 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.170781 | 0.533410 | -0.929779 | 0.140759 | 0.879593 | -0.807032 | 1.731307 | 0.020021 | 0.7277 | 0.7167 | 0.4014 | 3.261980 | 2.801836 |
| 2459855 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 75.459938 | 75.060141 | inf | inf | 4363.007952 | 4362.107851 | 4165.266388 | 4165.273726 | 0.0110 | 0.0117 | 0.0035 | 0.000000 | 0.000000 |
| 2459854 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.204586 | 1.248273 | -0.757934 | -0.324292 | 1.692955 | 0.159003 | 1.934643 | 0.060248 | 0.7301 | 0.7537 | 0.4399 | 3.061292 | 2.767086 |
| 2459853 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 257.056455 | 255.587081 | inf | inf | 4628.718886 | 4950.294919 | 11262.209361 | 12864.011238 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459852 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.305984 | 2.039771 | -0.788936 | -0.219649 | 1.110784 | -1.110654 | -0.717966 | -0.365619 | 0.8377 | 0.8437 | 0.2373 | 4.888399 | 4.533217 |
| 2459851 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459850 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.213928 | 0.733764 | -0.703624 | -0.136304 | 0.358472 | 0.062255 | -0.646461 | -0.672278 | 0.7559 | 0.7721 | 0.3532 | 3.697153 | 3.370142 |
| 2459849 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.079098 | 0.878959 | 0.776502 | -0.431353 | 0.954283 | -0.826373 | 0.253906 | -0.244422 | 0.7505 | 0.7643 | 0.3585 | 4.257563 | 3.873634 |
| 2459848 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.802096 | 1.538408 | 9.535124 | 4.524227 | 1.307349 | 0.017436 | 0.108716 | -0.442184 | 0.7409 | 0.7710 | 0.3788 | 4.103840 | 3.552655 |
| 2459847 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459846 | RF_maintenance | 100.00% | 25.64% | 34.19% | 0.00% | 100.00% | 0.00% | 7.359668 | 6.708104 | 0.997587 | 0.332676 | 59.480079 | 60.049559 | -0.527660 | -0.696425 | 0.8103 | 0.5377 | 0.5286 | 4.428620 | 3.424823 |
| 2459845 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.944893 | 1.806102 | 13.285457 | 7.396275 | 2.096875 | 0.300381 | 1.809976 | 4.424653 | 0.7627 | 0.7616 | 0.3610 | 3.683038 | 2.756438 |
| 2459844 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 45.294535 | 51.675780 | 126.894996 | 118.764174 | 222.534772 | 207.207194 | 25.310002 | 44.873049 | 0.8871 | 0.6004 | 0.5969 | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 17.327451 | 1.013655 | 19.011593 | 2.425844 | 64.492526 | 77.549248 | 0.745992 | -0.328534 | 0.0414 | 0.7619 | 0.5547 | 1.382529 | 4.687863 |
| 2459842 | RF_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.311694 | 0.519371 | 8.806101 | -1.141681 | -0.142561 | 0.307818 | 0.399386 | 0.262343 | 0.0364 | 0.7101 | 0.4807 | 1.223387 | 4.059926 |
| 2459841 | RF_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 14.051278 | 48.209650 | 3.683286 | 68.757694 | 3.918083 | 400.572118 | 3.815829 | 49.599965 | 0.0281 | 0.7600 | 0.2611 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 2.999892 | -2.030936 | -0.605659 | 2.999892 | 1.502633 | -1.536113 | 0.023670 | -0.229143 | -0.037432 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 3.993314 | -0.569425 | -2.051549 | 1.883892 | 3.993314 | -0.139351 | -0.269706 | -0.842977 | -0.630416 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 2.788812 | -2.235738 | -0.723418 | 2.788812 | 1.389688 | -1.688110 | 0.433069 | 0.377433 | 0.500961 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 3.549538 | -0.603349 | -2.012676 | 1.588069 | 3.549538 | -0.119755 | -0.934962 | 0.321472 | 0.812567 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 3.675127 | -0.530760 | -1.982032 | 1.503712 | 3.675127 | 0.592398 | -1.066555 | -0.061068 | -0.267769 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Temporal Variability | 20.382616 | -2.186029 | -0.835560 | 2.927478 | 1.207948 | 20.382616 | 16.856600 | 3.484217 | 1.951180 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 18.683025 | -0.528696 | -1.819544 | 6.809639 | 18.683025 | -0.677144 | 2.242316 | -0.214463 | 7.286846 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Power | inf | 234.578824 | 235.528887 | inf | inf | 4890.805348 | 4843.709661 | 15227.767156 | 14794.554209 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 19.685671 | -0.480438 | -1.039883 | 8.091400 | 19.685671 | 0.625792 | 1.191706 | -0.407932 | 0.197298 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 22.184613 | -0.236632 | -0.829864 | 7.955050 | 22.184613 | 0.491334 | -0.057614 | 0.529370 | 1.913539 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 18.190426 | -0.595580 | -0.767543 | 6.908854 | 18.190426 | 1.278693 | 0.739939 | -0.628645 | -0.048008 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 21.750313 | -0.331689 | 0.118125 | 8.036170 | 21.750313 | 1.366413 | 0.115878 | -0.125532 | 0.501580 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 21.074570 | -1.843316 | -0.499522 | 21.074570 | 8.403223 | -0.267007 | -0.550655 | -0.568091 | -0.101391 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 10.487873 | -1.670025 | -0.685415 | 10.487873 | 4.028216 | 0.722068 | -0.840452 | 0.522098 | -0.280571 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 14.572985 | -1.056020 | -0.561881 | 14.572985 | 6.052399 | 0.452024 | -0.581401 | -0.051358 | -0.315699 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 18.456118 | -0.400311 | -1.077223 | 7.429677 | 18.456118 | -0.687423 | 1.732095 | -0.079604 | 1.045702 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Power | 48.218058 | 18.806729 | 21.045436 | 46.638875 | 48.218058 | 15.686521 | 22.887554 | 4.782177 | 4.334031 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Power | inf | 287.838744 | 287.815907 | inf | inf | 6147.683189 | 6110.523069 | 5376.229640 | 5406.237224 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Power | 66.409543 | 17.915621 | 22.049025 | 63.211345 | 66.409543 | 15.559926 | 23.897742 | 14.406547 | 12.099677 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | 1.800984 | 0.880349 | 1.800984 | 1.242457 | 0.499087 | -0.221662 | 0.479657 | 0.669394 | 0.808232 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Temporal Variability | 0.685079 | 0.257183 | 0.236638 | -0.551803 | 0.449552 | 0.685079 | -0.454746 | -0.228525 | -0.843991 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Temporal Discontinuties | 1.469348 | 0.120145 | -0.549559 | 0.811085 | 0.289377 | -0.139702 | -0.064193 | 0.592666 | 1.469348 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Temporal Variability | 182.986416 | 22.531467 | 20.572014 | 6.193661 | 5.908508 | 182.986416 | 113.142692 | 58.013109 | 54.810628 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Temporal Discontinuties | 1.731307 | -0.170781 | 0.533410 | -0.929779 | 0.140759 | 0.879593 | -0.807032 | 1.731307 | 0.020021 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Power | inf | 75.060141 | 75.459938 | inf | inf | 4362.107851 | 4363.007952 | 4165.273726 | 4165.266388 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Temporal Discontinuties | 1.934643 | 1.248273 | -0.204586 | -0.324292 | -0.757934 | 0.159003 | 1.692955 | 0.060248 | 1.934643 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Power | inf | 255.587081 | 257.056455 | inf | inf | 4950.294919 | 4628.718886 | 12864.011238 | 11262.209361 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Shape | 2.039771 | 0.305984 | 2.039771 | -0.788936 | -0.219649 | 1.110784 | -1.110654 | -0.717966 | -0.365619 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Shape | 0.733764 | -0.213928 | 0.733764 | -0.703624 | -0.136304 | 0.358472 | 0.062255 | -0.646461 | -0.672278 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Temporal Variability | 0.954283 | 0.079098 | 0.878959 | 0.776502 | -0.431353 | 0.954283 | -0.826373 | 0.253906 | -0.244422 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 9.535124 | 1.538408 | 0.802096 | 4.524227 | 9.535124 | 0.017436 | 1.307349 | -0.442184 | 0.108716 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Temporal Variability | 60.049559 | 7.359668 | 6.708104 | 0.997587 | 0.332676 | 59.480079 | 60.049559 | -0.527660 | -0.696425 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Power | 13.285457 | 1.806102 | 0.944893 | 7.396275 | 13.285457 | 0.300381 | 2.096875 | 4.424653 | 1.809976 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Temporal Variability | 222.534772 | 45.294535 | 51.675780 | 126.894996 | 118.764174 | 222.534772 | 207.207194 | 25.310002 | 44.873049 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Temporal Variability | 77.549248 | 1.013655 | 17.327451 | 2.425844 | 19.011593 | 77.549248 | 64.492526 | -0.328534 | 0.745992 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | ee Shape | 10.311694 | 10.311694 | 0.519371 | 8.806101 | -1.141681 | -0.142561 | 0.307818 | 0.399386 | 0.262343 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 148 | N15 | RF_maintenance | nn Temporal Variability | 400.572118 | 14.051278 | 48.209650 | 3.683286 | 68.757694 | 3.918083 | 400.572118 | 3.815829 | 49.599965 |